Your browser doesn't support javascript.
loading
Common- and rare-variant genetic architecture of heart failure across the allele frequency spectrum.
Lee, David S M; Cardone, Katie M; Zhang, David Y; Abramowitz, Sarah; DePaolo, John S; Aragam, Krishna G; Biddinger, Kiran; Conery, Mitchell; Dilitikas, Ozan; Hoffman-Andrews, Lily; Judy, Renae L; Khan, Atlas; Kulo, Iftikhar; Puckelwartz, Megan J; Reza, Nosheen; Satterfield, Benjamin A; Singhal, Pankhuri; Arany, Zoltan P; Cappola, Thomas P; Carruth, Eric; Day, Sharlene M; Do, Ron; Haggarty, Christopher M; Joseph, Jacob; McNally, Elizabeth; Nadkarni, Girish; Owens, Anjali T; Rader, Daniel J; Ritchie, Marylyn D; Sun, Yan; Voight, Benjamin F; Levin, Michael G; Damrauer, Scott M.
Afiliación
  • Lee DSM; Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL.
  • Cardone KM; Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA.
  • Zhang DY; Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA.
  • Abramowitz S; Department of Surgery, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA.
  • DePaolo JS; Department of Surgery, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA.
  • Aragam KG; Center for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA.
  • Biddinger K; Program in Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA.
  • Conery M; Program in Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA.
  • Dilitikas O; Genomics and Computational Biology Graduate Group, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA.
  • Hoffman-Andrews L; Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN.
  • Judy RL; Division of Cardiovascular Medicine, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA.
  • Khan A; Department of Surgery, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA.
  • Kulo I; Division of Nephrology, Department of Medicine, Columbia University Vagelos College of Physicians and Surgeons, New York, NY.
  • Puckelwartz MJ; Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN.
  • Reza N; Department of Pharmacology, Center for Genetic Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL.
  • Satterfield BA; Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN.
  • Singhal P; Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN.
  • Cappola TP; Division of Cardiovascular Medicine, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA.
  • Carruth E; Cardiovascular Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA.
  • Day SM; Division of Cardiovascular Medicine, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA.
  • Do R; Department of Translational Data Science and Informatics, Geisinger, Danville, PA.
  • Haggarty CM; Division of Cardiovascular Medicine, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA.
  • Joseph J; Cardiovascular Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA.
  • McNally E; The Charles Bronfman Institute for Personalized Medicine, Mount Sinai Icahn School of Medicine, New York, NY.
  • Nadkarni G; Biome Phenomics Center, Mount Sinai Icahn School of Medicine, New York, NY.
  • Owens AT; Department of Genetics and Genomic Sciences, Mount Sinai Icahn School of Medicine, New York, NY.
  • Rader DJ; Department of Translational Data Science and Informatics, Geisinger, Danville, PA.
  • Ritchie MD; Massachusetts Veterans Epidemiology Research and Information Center, VA Boston Healthcare System, Boston, MA.
  • Sun Y; Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA.
  • Voight BF; Center for Genetic Medicine, Bluhm Cardiovascular Institute, Northwestern University Feinberg School of Medicine, Chicago, IL.
  • Levin MG; Division of Nephrology, Department of Medicine, Mount Sinai Icahn School of Medicine, New York, NY.
  • Damrauer SM; Cardiovascular Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA.
medRxiv ; 2023 Oct 02.
Article en En | MEDLINE | ID: mdl-37503172
Heart failure (HF) is a complex trait, influenced by environmental and genetic factors, that affects over 30 million individuals worldwide. Historically, the genetics of HF have been studied in Mendelian forms of disease, where rare genetic variants have been linked to familial cardiomyopathies. More recently, genome-wide association studies (GWAS) have successfully identified common genetic variants associated with risk of HF. However, the relative importance of genetic variants across the allele-frequency spectrum remains incompletely characterized. Here, we report the results of common- and rare-variant association studies of all-cause heart failure, applying recently developed methods to quantify the heritability of HF attributable to different classes of genetic variation. We combine GWAS data across multiple populations including 207,346 individuals with HF and 2,151,210 without, identifying 176 risk loci at genome-wide significance (p < 5×10-8). Signals at newly identified common-variant loci include coding variants in Mendelian cardiomyopathy genes (MYBPC3, BAG3), as well as regulators of lipoprotein (LPL) and glucose metabolism (GIPR, GLP1R), and are enriched in cardiac, muscle, nerve, and vascular tissues, as well as myocyte and adipocyte cell types. Gene burden studies across three biobanks (PMBB, UKB, AOU) including 27,208 individuals with HF and 349,126 without uncover exome-wide significant (p < 3.15×10-6) associations for HF and rare predicted loss-of-function (pLoF) variants in TTN, MYBPC3, FLNC, and BAG3. Total burden heritability of rare coding variants (2.2%, 95% CI 0.99-3.5%) is highly concentrated in a small set of Mendelian cardiomyopathy genes, and is lower than heritability attributable to common variants (4.3%, 95% CI 3.9-4.7%) which is more diffusely spread throughout the genome. Finally, we demonstrate that common-variant background, in the form of a polygenic risk score (PRS), significantly modifies the risk of HF among carriers of pathogenic truncating variants in the Mendelian cardiomyopathy gene TTN. These findings suggest a significant polygenic component to HF exists that is not captured by current clinical genetic testing.

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: MedRxiv Año: 2023 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: MedRxiv Año: 2023 Tipo del documento: Article